时变非线性系统的简约基序列逼近

Matthew Green, A. Zoubir
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引用次数: 1

摘要

提出了一种时变非线性系统的辨识方法。系统的时变由给定基的序列加权组合来逼近。在这种情况下,为了识别系统,估计序列的时不变系数就足够了。我们研究的重点是选择这些序列用于逼近。我们建议使用搜索方法来确定哪些序列对近似有重要贡献,从而导致能够同时表征系统动力学和时间变化的简约模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A search for a parsimonious basis sequence approximation of time-varying, nonlinear systems
An approach for identifying time-varying nonlinear systems is presented. The time-variation of the system is approximated by a weighted combination of sequences from a given basis. In this case, to identify the system it is sufficient to estimate the time-invariant coefficients of the sequences. The focus of our investigation is on selecting these sequences to use in the approximation. We propose using a search method to determine which sequences contribute significantly to the approximation and thus lead to a parsimonious model that is able to characterise the system dynamics and time-variation together.
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